Similar to raw materials and machines, energy has become a commodity and there has been a shifted focus across manufacturing companies to reduce energy consumption across their plants. Currently, in some markets, the client faces penalty charges for exceeding the energy limitations. The client has reports and dashboards to track the consumption of energy across a few important machine parts. Operators use these dashboards to identify sections of machines that are in green/red zones and change the levers based on his/her experience. The main objective is to identify the settings of optimal energy consumption profile for all the machine parts under production constraints.
To address this, the team at Tredence developed an analytically robust approach with the following specifications:
The learnings will be used across similar machines to create operational guidelines for reducing energy consumption
We were able to achieve a ~5% reduction in energy consumption across major machines
